Plant Leaf Segmentation Invariant of Background

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)
© 2014 by IJCOT Journal
Volume - 4 Issue - 5
Year of Publication : 2014
Authors :  Vatsal Mahajan , Dilip Jain , Abhinav Dua
DOI :  10.14445/22492593/IJCOT-V12P305

Citation

Vatsal Mahajan , Dilip Jain , Abhinav Dua. "Plant Leaf Segmentation Invariant of Background", International Journal of Computer & organization Trends (IJCOT), V4(5):15-18 Sep - Oct 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract

In this paper we describe an approach for plant leaf segmentation which is background invariant. Leaf segmentation is a primal pre-processing step to perform various operations on the leaf, which is mostly difficult to achieve with accuracy on varied backgrounds. This method has been tested on a dataset of 200 leaves form 8 different plant species and with each having a different background. The approach is easy to implement and has high accuracy.

References

[1] Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib and Illiasaak Ahmad “Leaf features extraction and recognition approaches to classify plant”, Journal of Computer Science 9 (10): 1295-1304, 2013.
[2] Shitala Prasad, Krishna Mohan Kudiri, and R.C. Tripathi “Relative Sub-Image Based Features for Leaf Recognition using Support Vector Machine ”,ICCCS `11 Proceedings of the 2011 International Conference on Communication, Computing & Security.
[3] Srividhya.K.V, Vaithiyanathan .V and Bharathi.R “An Assessment on Image Segmentation Algorithms Employed in Plant Leaf Identification Systems”, International Journal of Applied Engineering Research, Vol. 8, No. 20 (2013).
[4] N.Valliammal, Dr.S.N.Geethalakshmi,” Hybrid Image Segmentation Algorithm for Leaf Recognition and Characterization”, PACC 2011: International Conference on Process Automation, Control and Computing, IEEE Transaction @ 2011.
[5] Chin-Hung Teng; Yi-Ting Kuo; Yung-Sheng Chen ” Leaf segmentation, classification, and three-dimensional recovery from a few images with close viewpoints”, Optical Engineering Volume 50, Issue 3, March 2011
[6] H. Laga, S. Kurtek, A. Srivastava, M.R. Golzarian, and S.J. Miklavcic (2012) A Riemannian elastic metric for shape-based plant leaf classification, Proceedings of DICTA2012.
[7] Neeraj Kumar, Peter N. Belhumeur, Arijit Biswas, David W. Jacobs,W. John Kress, Ida Lopez, and Jo˜ao V. B. Soares ” Leafsnap: A Computer Vision System for Automatic Plant Species Identification”, 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II.

Keywords
Leaf Segmentation, Leaf Detection, Image Segmentation, Finding Disconnected Components.